{
  "data": {
    "a": {
      "slug": "mlflow-tracing",
      "name": "MLflow Tracing",
      "vendor": "MLflow Project (LF Projects, LLC)",
      "vendorUrl": "https://mlflow.org",
      "kind": "http-api",
      "category": "agent-observability",
      "summary": "Open-source tracing, evaluation and prompt management for LLM applications and agents, part of MLflow, a Linux Foundation project. Owners run the server themselves, and agents read and annotate traces through an experimental MCP server or the `mlflow traces` CLI.",
      "url": "https://www.anchorterminal.com/tools/mlflow-tracing",
      "markdownUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json",
      "repo": "https://github.com/mlflow/mlflow",
      "license": "Apache-2.0",
      "transports": [
        "stdio",
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "mlflow"
        },
        {
          "registry": "pypi",
          "name": "mlflow-tracing"
        },
        {
          "registry": "npm",
          "name": "@mlflow/core"
        }
      ],
      "auth": "mixed",
      "authNotes": "No authentication on a default server. Starting it with `mlflow server --app-name basic-auth` requires a username and password on every request, with role-based access control and no default admin password. The MCP server is a local stdio process that reads `MLFLOW_TRACKING_URI` and the MLflow credential environment variables, such as `MLFLOW_TRACKING_USERNAME` and `MLFLOW_TRACKING_PASSWORD`. Single sign-on needs a community plugin or a reverse proxy.",
      "pricing": "free",
      "pricingNotes": "Free to self-host under Apache-2.0, with no account or contract. The owner pays for compute, a database and artifact storage. The MLflow project sells nothing. Its README links managed MLflow from Databricks, Amazon SageMaker, Azure ML and Nebius, whose prices were not read (checked 2026-10-09).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the repository docs or the MCP server source (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": 26,
      "popularity": {
        "githubStars": 28320,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://mlflow.org/docs/latest/genai/",
      "llmsTxt": "https://mlflow.org/docs/latest/llms.txt",
      "capabilities": [
        "obs.traces",
        "obs.evals",
        "obs.prompts",
        "obs.datasets",
        "obs.gateway"
      ],
      "tags": [
        "open-source",
        "self-hosted",
        "local",
        "apache-2.0",
        "mcp",
        "cli",
        "opentelemetry",
        "llms-txt",
        "python",
        "typescript",
        "linux-foundation"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.2,
        "grade": "C",
        "agentReady": false,
        "rank": 476,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 88,
          "payments": 60,
          "reliability": 76,
          "schema": 78,
          "security": 40,
          "transparency": 62
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": -6,
        "negativeNotes": [
          "2026-10-09: GHSA-26p8-2jq9-3vq9, critical, remote code execution on MLflow servers without authentication through third-party scorer deserialisation, affecting 3.12.0rc0 up to 3.17.0 and patched in 3.17.0 of 6 October. Four more advisories were published between 27 July and 4 August 2026, among them GHSA-7gwp-5pfp-969j, a high-severity unauthenticated SSRF in webhook delivery patched in 3.15.0. All are published with fixes, so the deduction is reduced (https://github.com/mlflow/mlflow/security/advisories)"
        ],
        "verdict": "Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.",
        "bestFor": "Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.",
        "strengths": [
          "Apache-2.0 licence, free to self-host, with nothing to buy from the project",
          "`extract_fields` on `search_traces` and `get_trace` returns only the named fields, with `max_results` and `page_token` for paging",
          "The server accepts OTLP at `/v1/traces`, so applications in any OpenTelemetry language can send spans",
          "Seven releases between 31 July and 6 October 2026, with breaking changes listed in the changelog",
          "`MLFLOW_MCP_TOOLS` limits the MCP server to named tool categories, such as `traces` alone"
        ],
        "weaknesses": [
          "The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool",
          "The tracking server has no authentication unless started with `--app-name basic-auth`",
          "Five security advisories published between 27 July and 9 October 2026, one a critical unauthenticated remote code execution fixed in 3.17.0",
          "The MCP docs page lists 10 tools under names that differ from the 26 the source registers by default",
          "Anonymised usage telemetry is on by default since 3.2.0 and records each MCP server start",
          "No audit log and no guidance on untrusted trace content were found in the reviewed documentation"
        ],
        "agentNotes": [
          "Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication",
          "Set `MLFLOW_MCP_TOOLS=traces` to load 11 tools in place of the default 26",
          "Pass `extract_fields` on `search_traces` and `get_trace`. Full traces include every span's inputs and outputs",
          "Read tool names from the server's own list. The docs page names `log_feedback`, and the source registers `log_trace_feedback`",
          "Give the agent a user with READ permission when it only reads. `delete_traces` and `delete_experiment` run without confirmation",
          "Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.2
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 88,
          "payments": 60,
          "reliability": 76,
          "schema": 78,
          "security": 40,
          "transparency": 83
        },
        "provenanceScore": 41
      },
      "connect": {
        "install": "pip install 'mlflow[mcp]\u003e=3.5.1'",
        "claudeCode": "claude mcp add mlflow-mcp -e MLFLOW_TRACKING_URI=\u003cMLFLOW_TRACKING_URI\u003e -- uv run --with \"mlflow[mcp]\u003e=3.5.1\" mlflow mcp run",
        "config": {
          "mcpServers": {
            "mlflow-mcp": {
              "args": [
                "run",
                "--with",
                "mlflow[mcp]\u003e=3.5.1",
                "mlflow",
                "mcp",
                "run"
              ],
              "command": "uv",
              "env": {
                "MLFLOW_TRACKING_URI": "\u003cMLFLOW_TRACKING_URI\u003e"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/obs.traces",
        "tool": "https://letme.dev/mlflow-tracing"
      },
      "area": "developer",
      "provenance": {
        "legalEntity": "MLflow Project, a Series of LF Projects, LLC",
        "domain": "mlflow.org",
        "domainRegistered": "2018-04-05",
        "endpointOnVendorDomain": false,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md",
        "securityTxt": "unknown",
        "checked": "2026-10-09",
        "notes": [
          "The mlflow.org footer reads MLflow Project, a Series of LF Projects, LLC.",
          "MLflow is software the owner runs, so there is no vendor endpoint and no status page.",
          "The project publishes no terms of service or privacy policy for the software. `terms` and `privacy` are left out and the Apache-2.0 licence stands in. The telemetry page refers to the LF Projects telemetry data policy.",
          "mlflow.org/.well-known/security.txt answered 403 from the site's storage. SECURITY.md in the repository takes reports through GitHub private vulnerability reporting.",
          "RDAP for mlflow.org gives a registration date of 2018-04-05 and 1API GmbH as registrar."
        ],
        "score": 41
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.json",
      "live": {
        "slug": "mlflow-tracing",
        "versions": [
          {
            "registry": "github",
            "name": "mlflow/mlflow",
            "version": "v3.17.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-09T17:06:56.716473096Z"
          },
          {
            "registry": "npm",
            "name": "@mlflow/core",
            "version": "0.4.0",
            "seenAt": "2026-10-09T17:06:55.82052791Z"
          },
          {
            "registry": "pypi",
            "name": "mlflow",
            "version": "3.17.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-09T17:06:53.813494162Z"
          },
          {
            "registry": "pypi",
            "name": "mlflow-tracing",
            "version": "3.17.0",
            "released": "2026-10-07",
            "seenAt": "2026-10-09T17:06:53.928988136Z"
          }
        ],
        "githubStars": 28331,
        "npmWeekly": 15392,
        "pypiWeekly": 4590348,
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/mlflow/mlflow/master/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:45:35.157905643Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "81678c02de88"
          }
        ],
        "updatedAt": "2026-10-09T18:45:35.157905643Z"
      }
    },
    "answer": "Respan API + MCP scores 65.5 (B) on agent readiness against MLflow Tracing's 61.2 (C), and leads in 2 of 7 scored categories. MLflow Tracing leads on agent ergonomics, payments \u0026 pricing and transparency \u0026 trust.",
    "b": {
      "slug": "respan",
      "name": "Respan API + MCP",
      "vendor": "Respan (formerly Keywords AI)",
      "vendorUrl": "https://www.respan.ai",
      "kind": "http-api",
      "category": "agent-observability",
      "summary": "Hosted tracing, evals, prompt management and an LLM gateway to 250+ models, from the company formerly called Keywords AI.",
      "url": "https://www.anchorterminal.com/tools/respan",
      "markdownUrl": "https://www.anchorterminal.com/tools/respan.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/respan.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/respan.json",
      "repo": "https://github.com/respanai/respan",
      "license": "Apache-2.0 (SDKs only, platform closed source)",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.respan.ai/api",
      "packages": [
        {
          "registry": "pypi",
          "name": "respan-tracing"
        },
        {
          "registry": "npm",
          "name": "@respan/tracing"
        }
      ],
      "auth": "mixed",
      "authNotes": "API key as a Bearer token for the REST API and MCP. Keys carry Read, Write, Gateway and Admin scopes (new keys default to Read, Write and Gateway), can have an expiry and spend caps, and are bound to one project. The hosted MCP server also supports OAuth sign-in, or a JWT copied from mcp.respan.ai/login. A Respan-Enabled-Tools header limits which MCP tools a client sees.",
      "pricing": "freemium",
      "pricingNotes": "Free plan with 100,000 logs, 1,000 scores, 7-day retention, unlimited seats and 412 requests a minute on the gateway. Team $199 a month billed yearly with 5 seats ($15 per extra member), 10,000 scores, 30-day retention and 8,400 gateway requests a minute. Extra logs $8 per 100,000, extra scores $1 per 1,000, HIPAA add-on $249 a month. Enterprise is custom (https://www.respan.ai/pricing).",
      "priceSummary": "$199 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 support in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 67,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 270,
        "pypiWeekly": 12515,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://www.respan.ai/docs",
      "llmsTxt": "https://www.respan.ai/docs/llms.txt",
      "openapi": "https://respan.ai/docs/openapi.json",
      "capabilities": [
        "obs.traces",
        "obs.evals",
        "obs.prompts",
        "obs.gateway",
        "obs.datasets"
      ],
      "tags": [
        "hosted",
        "freemium",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "closed-source",
        "webhooks",
        "enterprise"
      ],
      "lastRelease": "2026-09-30",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 65.5,
        "grade": "B",
        "agentReady": false,
        "rank": 317,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 6,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 66,
          "maintenance": 85,
          "payments": 30,
          "reliability": 73,
          "schema": 89,
          "security": 66,
          "transparency": 57
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-07-30 and 2026-08-28. The changelog lists \"Closed an unauthorized live-event stream vulnerability\" and \"Patched some security vulnerabilities\" with no advisory, scope or statement on whether customer data was exposed. Fixed, but disclosed in one line each. -2 (https://www.respan.ai/docs/changelog/changelog)"
        ],
        "verdict": "API keys with Read, Write, Gateway and Admin scopes, expiry and spend caps, bound to one project. 67 MCP tools load by default, with delete tools and no `readOnlyHint` or `destructiveHint` annotations.",
        "bestFor": "Teams that want a gateway and tracing in one integration and an agent that can manage prompts, datasets and evaluators over MCP.",
        "strengths": [
          "API keys with Read, Write, Gateway and Admin scopes, expiry and spend caps, bound to one project",
          "OpenAPI 3.1 spec, llms.txt and Markdown for every docs page",
          "`Respan-Enabled-Tools` header trims the MCP server's tool list server-side",
          "`list_logs` returns summary fields by default with pages of up to 50 rows",
          "Published overage prices ($8 per 100,000 logs) and per-plan gateway and ingestion limits"
        ],
        "weaknesses": [
          "67 MCP tools load by default, with delete tools and no `readOnlyHint` or `destructiveHint` annotations",
          "A 13-hour 47-minute gateway incident on 26 September 2026, while the status bars show 100 per cent",
          "Security fixes on 30 July and 28 August 2026 disclosed only as one-line changelog entries",
          "Free plan keeps logs for 7 days",
          "No deprecation policy, and the legacy `/api/generate` endpoint was retired on 11 September 2026"
        ],
        "agentNotes": [
          "Create a key with only the Read scope for agents that analyse logs. New keys get Read, Write and Gateway by default",
          "Set `Respan-Enabled-Tools` to a short list such as list_traces,get_trace_tree,list_logs. All 67 tools load otherwise",
          "Pass `filters` to `list_logs` rather than paging through everything. The default window is the last hour",
          "Call `list_organizations` first when results look empty over OAuth. Every tool acts on the active organisation only",
          "Append `.md` to any docs URL for clean Markdown"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 65.5
          }
        ],
        "editorialScores": {
          "ergonomics": 66,
          "maintenance": 85,
          "payments": 30,
          "reliability": 73,
          "schema": 89,
          "security": 66,
          "transparency": 47
        },
        "provenanceScore": 67
      },
      "connect": {
        "http": "curl -X POST https://api.respan.ai/api/traces/list/ -H \"Authorization: Bearer $RESPAN_API_KEY\" \\\n  -H \"content-type: application/json\" -d '{}'",
        "claudeCode": "claude mcp add --transport http --header \"Authorization: Bearer $RESPAN_API_KEY\" respan https://mcp.respan.ai/mcp",
        "config": {
          "mcpServers": {
            "respan": {
              "headers": {
                "Authorization": "Bearer ${RESPAN_API_KEY}"
              },
              "type": "http",
              "url": "https://mcp.respan.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/obs.traces",
        "tool": "https://letme.dev/respan"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Team plan",
          "unit": "month",
          "usd": 199,
          "note": "billed yearly, 5 seats, 10,000 scores, 30-day retention"
        },
        {
          "item": "Extra Team member",
          "unit": "seat-month",
          "usd": 15
        },
        {
          "item": "HIPAA add-on",
          "unit": "month",
          "usd": 249
        }
      ],
      "provenance": {
        "legalEntity": "Keywords AI Inc. (d/b/a Respan)",
        "domain": "respan.ai",
        "domainRegistered": "2026-01-13",
        "domainNote": "respan.ai shows a 2026-01-13 registration, matching the rename from Keywords AI (keywordsai.co).",
        "endpointOnVendorDomain": true,
        "terms": "https://www.respan.ai/legal/terms-of-use",
        "privacy": "https://www.respan.ai/legal/privacy-policy",
        "statusPage": "https://status.respan.ai",
        "changelog": "https://www.respan.ai/docs/changelog/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 67
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/respan.json",
      "live": {
        "slug": "respan",
        "probe": {
          "target": "https://api.respan.ai/api",
          "method": "get",
          "lastAt": "2026-10-10T02:55:08.026839018Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 268,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 264,
          "p95ms24h": 363,
          "samples24h": 249,
          "samples30d": 2466,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 30,
              "ok": 30
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.respan.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T00:51:12.143175295Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@respan/tracing",
            "version": "1.6.1",
            "seenAt": "2026-10-09T17:17:02.282471226Z"
          },
          {
            "registry": "pypi",
            "name": "respan-tracing",
            "version": "2.20.1",
            "released": "2026-09-30",
            "seenAt": "2026-10-09T17:17:02.092462315Z"
          }
        ],
        "githubStars": 48,
        "npmWeekly": 212,
        "pypiWeekly": 2804,
        "securityTxt": {
          "url": "https://respan.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:39:53.923300679Z"
        },
        "llmsTxt": {
          "url": "https://www.respan.ai/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:42.263767702Z"
        },
        "domain": {
          "domain": "respan.ai",
          "registered": "2026-01-13",
          "source": "https://rdap.identitydigital.services/rdap/domain/respan.ai",
          "checkedAt": "2026-10-04T13:04:19.8662822Z"
        },
        "pages": [
          {
            "url": "https://www.respan.ai/docs/changelog/changelog",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-09T18:53:30.972867982Z",
            "changedAt": "2026-10-07T18:13:30.472543173Z",
            "fingerprint": "b580ac2ab005"
          },
          {
            "url": "https://www.respan.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:53:37.1537885Z",
            "changedAt": "2026-10-06T16:16:39.629837977Z",
            "fingerprint": "e2f0665a2c3a"
          },
          {
            "url": "https://www.respan.ai/legal/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:53:34.027213263Z",
            "changedAt": "2026-10-06T16:16:36.327724502Z",
            "fingerprint": "1f2b25445f78"
          },
          {
            "url": "https://www.respan.ai/legal/terms-of-use",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:53:35.129433603Z",
            "changedAt": "2026-10-06T16:16:37.67243926Z",
            "fingerprint": "0c2382cd9f17"
          }
        ],
        "updatedAt": "2026-10-10T02:55:08.026839018Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "MLflow Project (LF Projects, LLC)",
        "b": "Respan (formerly Keywords AI)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.respan.ai/api",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio, HTTP",
        "b": "HTTP, Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Apache-2.0 (SDKs only, platform closed source)",
        "name": "Licence"
      },
      {
        "a": "26",
        "b": "67",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "2026-09-30",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-02-25",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-02-25",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "28k stars",
        "b": "270 npm/wk, 13k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Respan API + MCP scores 65.5 (B) on agent readiness against MLflow Tracing's 61.2 (C), and leads in 2 of 7 scored categories. MLflow Tracing leads on agent ergonomics, payments \u0026 pricing and transparency \u0026 trust.",
        "question": "Which is better for AI agents, MLflow Tracing or Respan API + MCP?"
      },
      {
        "answer": "Both take an API key or an OAuth sign-in.",
        "question": "Do MLflow Tracing and Respan API + MCP need an API key?"
      },
      {
        "answer": "MLflow Tracing runs on your own machine, with no hosted endpoint listed. Respan API + MCP has a hosted endpoint at https://api.respan.ai/api.",
        "question": "Can an agent call MLflow Tracing and Respan API + MCP without installing anything?"
      },
      {
        "answer": "MLflow Tracing is open source (Apache-2.0). No open-source release is listed for Respan API + MCP.",
        "question": "Are MLflow Tracing and Respan API + MCP open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 72 against 66",
          "Payments \u0026 pricing, 60 against 30",
          "Transparency \u0026 trust, 62 against 57"
        ],
        "also": [
          "Runs on your own machine",
          "Open source"
        ],
        "goodFor": "Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.",
        "slug": "mlflow-tracing",
        "watchFor": "The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 89 against 78",
          "Security \u0026 auth, 66 against 40"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Teams that want a gateway and tracing in one integration and an agent that can manage prompts, datasets and evaluators over MCP.",
        "slug": "respan",
        "watchFor": "67 MCP tools load by default, with delete tools and no `readOnlyHint` or `destructiveHint` annotations"
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      {
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      {
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      {
        "json": "https://www.anchorterminal.com/compare/braintrust-vs-respan.json",
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        "url": "https://www.anchorterminal.com/compare/braintrust-vs-respan"
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      {
        "json": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.json",
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        "url": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing"
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        "url": "https://www.anchorterminal.com/compare/helicone-vs-respan"
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      {
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        "url": "https://www.anchorterminal.com/compare/langsmith-vs-respan"
      },
      {
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        "title": "LangWatch vs MLflow Tracing",
        "url": "https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing"
      },
      {
        "json": "https://www.anchorterminal.com/compare/langwatch-vs-respan.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire.json",
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      },
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        "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave"
      },
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      {
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      },
      {
        "json": "https://www.anchorterminal.com/compare/respan-vs-wandb-weave.json",
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        "url": "https://www.anchorterminal.com/compare/respan-vs-wandb-weave"
      },
      {
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      },
      {
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        "url": "https://www.anchorterminal.com/compare/deepeval-vs-respan"
      }
    ],
    "scores": [
      {
        "by": 3,
        "edge": "mlflow-tracing",
        "key": "reliability",
        "mlflow-tracing": 76,
        "name": "Reliability",
        "respan": 73,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 11,
        "edge": "respan",
        "key": "schema",
        "mlflow-tracing": 78,
        "name": "Schema \u0026 documentation",
        "respan": 89,
        "weight": 13
      },
      {
        "by": 6,
        "edge": "mlflow-tracing",
        "key": "ergonomics",
        "mlflow-tracing": 72,
        "name": "Agent ergonomics",
        "respan": 66,
        "weight": 13
      },
      {
        "by": 26,
        "edge": "respan",
        "key": "security",
        "mlflow-tracing": 40,
        "name": "Security \u0026 auth",
        "respan": 66,
        "weight": 14
      },
      {
        "by": 30,
        "edge": "mlflow-tracing",
        "key": "payments",
        "mlflow-tracing": 60,
        "name": "Payments \u0026 pricing",
        "respan": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 3,
        "edge": "mlflow-tracing",
        "key": "maintenance",
        "mlflow-tracing": 88,
        "name": "Maintenance \u0026 community",
        "respan": 85,
        "weight": 7
      },
      {
        "by": 5,
        "edge": "mlflow-tracing",
        "key": "transparency",
        "mlflow-tracing": 62,
        "name": "Transparency \u0026 trust",
        "respan": 57,
        "weight": 7
      }
    ],
    "summary": "Respan API + MCP scores 65.5 (B) on agent readiness against MLflow Tracing's 61.2 (C), and leads in 2 of 7 scored categories. MLflow Tracing leads on agent ergonomics, payments \u0026 pricing and transparency \u0026 trust. Both do agent tracing.",
    "verdicts": {
      "mlflow-tracing": "Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.",
      "respan": "API keys with Read, Write, Gateway and Admin scopes, expiry and spend caps, bound to one project. 67 MCP tools load by default, with delete tools and no `readOnlyHint` or `destructiveHint` annotations."
    }
  },
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  "links": {
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    "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.json",
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  "markdown": "Respan API + MCP scores 65.5 (B) on agent readiness against MLflow Tracing's 61.2 (C), and leads in 2 of 7 scored categories. MLflow Tracing leads on agent ergonomics, payments \u0026 pricing and transparency \u0026 trust. Both do agent tracing.\n\n- MLflow Tracing: grade C, 61.2/100, rank #476 of 950. Markdown https://www.anchorterminal.com/tools/mlflow-tracing.md · JSON https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json\n- Respan API + MCP: grade B, 65.5/100, rank #317 of 950. Markdown https://www.anchorterminal.com/tools/respan.md · JSON https://www.anchorterminal.com/api/v1/tools/respan.json\n- Best agent tracing, monitoring and evaluation tools: https://www.anchorterminal.com/best/agent-observability/index.md\n- All 120 evals comparisons: https://www.anchorterminal.com/compare/agent-observability/index.md\n\n## Which one, for what\n\n### MLflow Tracing (C)\n\nGood for: Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.\n\nAhead on:\n- Agent ergonomics, 72 against 66\n- Payments \u0026 pricing, 60 against 30\n- Transparency \u0026 trust, 62 against 57\n\nAlso in its favour:\n- Runs on your own machine\n- Open source\n\nWatch for: The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool\n\n### Respan API + MCP (B)\n\nGood for: Teams that want a gateway and tracing in one integration and an agent that can manage prompts, datasets and evaluators over MCP.\n\nAhead on:\n- Schema \u0026 documentation, 89 against 78\n- Security \u0026 auth, 66 against 40\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: 67 MCP tools load by default, with delete tools and no `readOnlyHint` or `destructiveHint` annotations\n\n\n## Score by category\n\n| Category | Weight | MLflow Tracing | Respan API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 76 | 73 | MLflow Tracing +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 89 | Respan API + MCP +11 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 66 | MLflow Tracing +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 66 | Respan API + MCP +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | MLflow Tracing +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 88 | 85 | MLflow Tracing +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 57 | MLflow Tracing +5 |\n| Negative events | ≤15 | -6 | -2 | |\n| **Total** | | **61.2 · C** | **65.5 · B** | |\n\n## Facts side by side\n\n| Fact | MLflow Tracing | Respan API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | MLflow Project (LF Projects, LLC) | Respan (formerly Keywords AI) |\n| Hosted endpoint | no (local only) | `https://api.respan.ai/api` |\n| Transports | stdio, HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 (SDKs only, platform closed source) |\n| Tools exposed | 26 | 67 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | 2026-09-30 |\n| Terms last updated | no document linked | 2026-02-25 |\n| Privacy policy last updated | no document linked | 2026-02-25 |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | yes |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | yes |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | 28k stars | 270 npm/wk, 13k PyPI/wk |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**MLflow Tracing.** Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.\n\n**Respan API + MCP.** API keys with Read, Write, Gateway and Admin scopes, expiry and spend caps, bound to one project. 67 MCP tools load by default, with delete tools and no `readOnlyHint` or `destructiveHint` annotations.\n\n## Before you call either\n\n### MLflow Tracing\n\n1. Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication\n2. Set `MLFLOW_MCP_TOOLS=traces` to load 11 tools in place of the default 26\n3. Pass `extract_fields` on `search_traces` and `get_trace`. Full traces include every span's inputs and outputs\n4. Read tool names from the server's own list. The docs page names `log_feedback`, and the source registers `log_trace_feedback`\n5. Give the agent a user with READ permission when it only reads. `delete_traces` and `delete_experiment` run without confirmation\n6. Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input\n\n### Respan API + MCP\n\n1. Create a key with only the Read scope for agents that analyse logs. New keys get Read, Write and Gateway by default\n2. Set `Respan-Enabled-Tools` to a short list such as list_traces,get_trace_tree,list_logs. All 67 tools load otherwise\n3. Pass `filters` to `list_logs` rather than paging through everything. The default window is the last hour\n4. Call `list_organizations` first when results look empty over OAuth. Every tool acts on the active organisation only\n5. Append `.md` to any docs URL for clean Markdown\n\n## Questions\n\n### Which is better for AI agents, MLflow Tracing or Respan API + MCP?\n\nRespan API + MCP scores 65.5 (B) on agent readiness against MLflow Tracing's 61.2 (C), and leads in 2 of 7 scored categories. MLflow Tracing leads on agent ergonomics, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do MLflow Tracing and Respan API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call MLflow Tracing and Respan API + MCP without installing anything?\n\nMLflow Tracing runs on your own machine, with no hosted endpoint listed. Respan API + MCP has a hosted endpoint at https://api.respan.ai/api.\n\n### Are MLflow Tracing and Respan API + MCP open source?\n\nMLflow Tracing is open source (Apache-2.0). No open-source release is listed for Respan API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mlflow-tracing\", \"b\": \"respan\"}`. From a terminal: `anchor compare mlflow-tracing respan`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json and https://www.anchorterminal.com/api/v1/tools/respan.json\n\n## Other comparisons with MLflow Tracing or Respan API + MCP\n\n- [Arize Phoenix vs MLflow Tracing](https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing.md)\n- [Arize Phoenix vs Respan API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-respan.md)\n- [Baserun vs MLflow Tracing](https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.md)\n- [Baserun vs Respan API + MCP](https://www.anchorterminal.com/compare/baserun-vs-respan.md)\n- [Braintrust API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.md)\n- [Braintrust API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-respan.md)\n- [Galileo API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.md)\n- [Galileo API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/galileo-vs-respan.md)\n- [Helicone AI Gateway + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing.md)\n- [Helicone AI Gateway + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/helicone-vs-respan.md)\n- [HoneyHive vs MLflow Tracing](https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.md)\n- [HoneyHive vs Respan API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-respan.md)\n- [Laminar API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.md)\n- [Laminar API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/laminar-vs-respan.md)\n- [Langfuse API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.md)\n- [Langfuse API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/langfuse-vs-respan.md)\n- [LangSmith API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.md)\n- [LangSmith API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/langsmith-vs-respan.md)\n- [LangWatch vs MLflow Tracing](https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing.md)\n- [LangWatch vs Respan API + MCP](https://www.anchorterminal.com/compare/langwatch-vs-respan.md)\n- [MLflow Tracing vs Prefactor](https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.md)\n- [MLflow Tracing vs Pydantic Logfire](https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire.md)\n- [MLflow Tracing vs W\u0026B Weave](https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.md)\n- [Prefactor vs Respan API + MCP](https://www.anchorterminal.com/compare/prefactor-vs-respan.md)\n- [Pydantic Logfire vs Respan API + MCP](https://www.anchorterminal.com/compare/pydantic-logfire-vs-respan.md)\n- [Respan API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/respan-vs-wandb-weave.md)\n- [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md)\n- [DeepEval vs Respan API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-respan.md)\n",
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